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| 1 | +--- |
| 2 | +title: "Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe" |
| 3 | +id: "marcobonici-effort" |
| 4 | +description: "See how this team uses Julia to emulate cosmological observables at the largest scales." |
| 5 | +author: "[CosmologicalEmulators/Effort.jl](https://github.com/marcobonici)" |
| 6 | +date: "2025-09-16" |
| 7 | +--- |
| 8 | + |
| 9 | +This team has developed a novel and efficient emulator designed for the Effective Field Theory of Large-Scale Structure (EFTofLSS). |
| 10 | + |
| 11 | +**Package: [CosmologicalEmulators/Effort.jl](https://github.com/CosmologicalEmulators/Effort.jl)** |
| 12 | + |
| 13 | + |
| 14 | + |
| 15 | +Their implementation leverages state-of-the-art numerical methods and machine learning techniques from the [SciML](https://sciml.ai/) and [Turing.jl](https://turinglang.org/) ecosystems to create surrogate models of the large-scale structure of the Universe. These models integrate well with gradient-based samplers to achieve exceptional computational performance without sacrificing accuracy, which will be essential for analyzing next-generation cosmological survey data from, e.g., the Dark Energy Spectroscopic Instrument ([DESI](https://www.desi.lbl.gov/)), and [Euclid](https://www.esa.int/Science_Exploration/Space_Science/Euclid). |
| 16 | + |
| 17 | +Read the [_404 Media_ news release](https://www.404media.co/a-vast-cosmic-web-connects-the-universe-really-now-we-can-emulate-it/) on this package, or read from an up-to-date list of associated publications from the [CosmologicalEmulators organization here](https://github.com/CosmologicalEmulators#publications) for more. |
| 18 | + |
| 19 | +> 1. Bonici, M., D'Amico, G., Bel, J., & Carbone, C. (2025). Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe. [Journal of Cosmology and Astroparticle Physics, 2025(9), 044](https://iopscience.iop.org/article/10.1088/1475-7516/2025/09/044?ref=404media.co). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...09..044B/abstract) |
| 20 | +> 2. Morawetz, J., Zhang, H., Bonici, M., Percival, W., Crespi, A, et al., (2025). Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1. [arXiv:2508.11811](https://arxiv.org/abs/2508.11811). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250811811M/abstract) |
| 21 | +> 3. H. Zhang, M. Bonici, A. Rocher, W. J. Percival, A. de Mattia, et al., (2025). Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors. [arXiv:2504.10407](https://arxiv.org/abs/2504.10407). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract) |
| 22 | +> 4. Zhang, H., Bonici, M., D'Amico, G., Paradiso, S., & Percival, W. (2025). HOD-informed prior for EFT-based full-shape analyses of LSS. [Journal of Cosmology and Astroparticle Physics, 2025(4), 041](https://iopscience.iop.org/article/10.1088/1475-7516/2025/04/041). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract) |
| 23 | +> 5. Paradiso, S., Bonici, M., Chen, M., Percival, W., D'Amico, G., Zhang, H., & McGee, G. (2025). Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure. [Journal of Cosmology and Astroparticle Physics, 2025(7), 005](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/005). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..005P/abstract) |
| 24 | +> 6. Baleato Lizancos, A., Seljak, U., Karamanis, M., Bonici, M., & Ferraro, S. (2025). Selecting samples of galaxies with fewer Fingers-of-God. [Journal of Cosmology and Astroparticle Physics, 2025(7), 014](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/014). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..014B/abstract) |
| 25 | +
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